A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem ...

Thierry Magnac, David Thesmar, Identifying Dynamic Discrete Decision Processes, Econometrica, Vol. 70, No. 2 (Mar., 2002), pp. 801-816 ...

Additionally, research on discrete two point nonlinear boundary value problems involving specialised operators, such as the ϕ c -Laplacian, has underscored the efficacy of variational approaches ...

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Deep learning models, with their excellent modeling capabilities for large-scale and nonlinear data, have played a significant role in the intelligent perception of quality-related variables.

Extensive experimental analysis demonstrates that native GenAI methods, such as generative adversarial network (GAN), variational autoencoder (VAE), and autoencoder have significant capability to ...

Variational Auto-encoder Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach - ACML 2018 A Multimodel Anomaly Detector for Robot-Assisted ...

Hale, P. D. Discrete-variational-Xα electronic structure studies of the spherical C60 cluster: prediction of ionization potential and electronic transition energy.